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High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models

Author

Listed:
  • Lulu Xue

    (University of Pennsylvania)

  • Alex G. Hamilton

    (University of Pennsylvania)

  • Gan Zhao

    (University of Pennsylvania)

  • Zebin Xiao

    (University of Pennsylvania)

  • Rakan El-Mayta

    (University of Pennsylvania
    University of Pennsylvania)

  • Xuexiang Han

    (University of Pennsylvania)

  • Ningqiang Gong

    (University of Pennsylvania)

  • Xinhong Xiong

    (University of Electronic Science and Technology of China)

  • Junchao Xu

    (University of Pennsylvania)

  • Christian G. Figueroa-Espada

    (University of Pennsylvania)

  • Sarah J. Shepherd

    (University of Pennsylvania)

  • Alvin J. Mukalel

    (University of Pennsylvania)

  • Mohamad-Gabriel Alameh

    (University of Pennsylvania
    University of Pennsylvania)

  • Jiaxi Cui

    (University of Electronic Science and Technology of China)

  • Karin Wang

    (Temple University)

  • Andrew E. Vaughan

    (University of Pennsylvania)

  • Drew Weissman

    (University of Pennsylvania
    University of Pennsylvania)

  • Michael J. Mitchell

    (University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania)

Abstract

Lipid nanoparticles for delivering mRNA therapeutics hold immense promise for the treatment of a wide range of lung-associated diseases. However, the lack of effective methodologies capable of identifying the pulmonary delivery profile of chemically distinct lipid libraries poses a significant obstacle to the advancement of mRNA therapeutics. Here we report the implementation of a barcoded high-throughput screening system as a means to identify the lung-targeting efficacy of cationic, degradable lipid-like materials. We combinatorially synthesize 180 cationic, degradable lipids which are initially screened in vitro. We then use barcoding technology to quantify how the selected 96 distinct lipid nanoparticles deliver DNA barcodes in vivo. The top-performing nanoparticle formulation delivering Cas9-based genetic editors exhibits therapeutic potential for antiangiogenic cancer therapy within a lung tumor model in female mice. These data demonstrate that employing high-throughput barcoding technology as a screening tool for identifying nanoparticles with lung tropism holds potential for the development of next-generation extrahepatic delivery platforms.

Suggested Citation

  • Lulu Xue & Alex G. Hamilton & Gan Zhao & Zebin Xiao & Rakan El-Mayta & Xuexiang Han & Ningqiang Gong & Xinhong Xiong & Junchao Xu & Christian G. Figueroa-Espada & Sarah J. Shepherd & Alvin J. Mukalel , 2024. "High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45422-9
    DOI: 10.1038/s41467-024-45422-9
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    References listed on IDEAS

    as
    1. Huanzhen Ni & Marine Z. C. Hatit & Kun Zhao & David Loughrey & Melissa P. Lokugamage & Hannah E. Peck & Ada Del Cid & Abinaya Muralidharan & YongTae Kim & Philip J. Santangelo & James E. Dahlman, 2022. "Piperazine-derived lipid nanoparticles deliver mRNA to immune cells in vivo," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Xionggao Huang & Guohong Zhou & Wenyi Wu & Yajian Duan & Gaoen Ma & Jingyuan Song & Ru Xiao & Luk Vandenberghe & Feng Zhang & Patricia A. D’Amore & Hetian Lei, 2017. "Genome editing abrogates angiogenesis in vivo," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
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